Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of HCC827 and HCC827/GR cells Transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of HCC827 and HCC827/GR cells Transcriptomes

PROVIDER: PRJNA820867 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of HCC827 and HCC827/GR cells Transcriptomes

Project description:HCC827 cells were obtained from American Type Culture Collection, and the gefitinib resistant HCC827/GR cells were established by gradient dose treatment for parental cells more than 6 months.Our study established an acquired gefitinib-resistant cell line, which exhibited epithelial-mesenchymal transition (EMT) and stem cell-like properties ann transcriptional sequencing and bioinformatics analysis confirmed that.

2022-04-14 | GSE199627 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum bud and flower Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum bud and flower Transcriptomes

2021-02-27 | GSE164382 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

| PRJNA725272 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of IBP Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of IBP Transcriptomes

| PRJNA761350 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Retinoblastoma Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Retinoblastoma Transcriptomes

| PRJNA436090 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).

2014-08-06 | E-GEOD-60119 | biostudies-arrayexpress

Next Generation Sequencing Facilitates Quantitative Analysis of Osteoblast Mineralization Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Osteoblast Mineralization Transcriptomes

| PRJNA623508 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Peritoneal Macrophage Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Peritoneal Macrophage Transcriptomes

| PRJNA512475 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of ISL1 Regulated Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of ISL1 Regulated Transcriptomes

| PRJNA612779 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of U87MG Cell Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of U87MG Cell Transcriptomes